AgentIndex icon
AgentIndex
crossmem logo
crossmem
★ 1
vs
remindb logo
remindb
★ 129

crossmem vs remindb

crossmem: crossmem provides cross-tool memory for AI coding agents. It injects remembered context before the AI starts thinking, eliminating the need to re-establish context across sessions. It supports Claude Code, GitHub Copilot, and Gemini CLI with zero cloud infrastructure.; remindb: remindb stores agentic memory in a single SQLite file. It parses notes into a structured tree with temperature tracking, enables efficient retrieval via FTS5 search, and supports versioning and summarization. This reduces token costs compared to re-reading raw files every session.

01

TL;DR

crossmem logo
crossmemMemory & Context · ★ 1

Remember coding patterns and solutions across different projects

Read crossmem full review →
remindb logo
remindbMemory & Context · ★ 129

Prevent coding agents from re-reading the same notes every session

Read remindb full review →
02

Side-by-Side Comparison

Field
crossmem logocrossmem
remindb logoremindb
Category
Memory & Context
Memory & Context
Stars
★ 1
★ 129
License
MIT
MIT
Install Command
pip install crossmem && crossmem setup
curl -fsSL https://raw.githubusercontent.com/radimsem/remindb/main/install.sh | bash
Updated
5mo ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-coding-assistant, ai-memory, claude-code
agent-memory, ai-agents, ast
03

Features

crossmem logocrossmem
01Cross-tool memory for Claude Code, GitHub Copilot, and Gemini CLI
02Cross-project memory across all projects in one index
03Zero cloud infrastructure, no accounts needed
04Automatic context injection via hooks and instructions
05MCP-native protocol for real-time memory access
remindb logoremindb
01Structured memory tree with typed nodes (heading, list, code, etc.)
02Temperature mechanism that tracks node usage and promotes hot content
03Automatic summarization of cold nodes via agent-driven compaction
04Git-style versioning with per-node diffs and snapshot cursors
05Full-text search (FTS5) with token budget control
04

Use Cases

crossmem logocrossmem
↳Remember coding patterns and solutions across different projects
↳Avoid re-explaining codebase context to AI in every session
↳Centralize memory for multiple AI coding tools
remindb logoremindb
↳Prevent coding agents from re-reading the same notes every session
↳Maintain persistent, cross-session memory for MCP-capable agents
↳Share memory between different agents or devices via a portable .db file
FAQ

FAQ

What is the difference between crossmem and remindb?
Both crossmem and remindb are in the Memory & Context category. crossmem has 1 stars, while remindb has 129 stars.
Which is better, crossmem or remindb?
The best choice depends on your use case. Choose crossmem if Remember coding patterns and solutions across different projects, and remindb if Prevent coding agents from re-reading the same notes every session.
Is crossmem free or open source?
Yes, crossmem is open source on GitHub (MIT).
Is remindb free or open source?
Yes, remindb is open source on GitHub (MIT).
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Related

Alternatives to crossmem →Alternatives to remindb →crossmem details →remindb details →